242 citations · 629 across the 42 of their papers we have counts for
5 papers · 1 filter
Multi-fidelity wavelet neural operator with application to uncertainty quantification
Akshay Thakur, Tapas Tripura, Souvik Chakraborty
Operator learning frameworks, because of their ability to learn nonlinear maps between two infinite dimensional functional spaces and utilization of neural networks in doing so, ha…
Energy networks for state estimation with random sensors using sparse labels
Yash Kumar, Souvik Chakraborty
State estimation is required whenever we deal with high-dimensional dynamical systems, as the complete measurement is often unavailable. It is key to gaining insight, performing co…
A deep learning based surrogate model for stochastic simulators
Akshay Thakur, Souvik Chakraborty
We propose a deep learning-based surrogate model for stochastic simulators. The basic idea is to use generative neural network to approximate the stochastic response. The challenge…
Transfer learning based multi-fidelity physics informed deep neural network
Souvik Chakraborty
For many systems in science and engineering, the governing differential equation is either not known or known in an approximate sense. Analyses and design of such systems are gover…
A Gaussian process latent force model for joint input-state estimation in linear structural systems
Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan
The problem of combined state and input estimation of linear structural systems based on measured responses and a priori knowledge of structural model is considered. A novel method…